Blue Bear Systems Research Soar Agents for Unmanned Air & Ground Vehicles Dr Phill Smith 24 th Soar Workshop 9 th – 11 th June 2004 Building 32, Twinwoods.

Slides:



Advertisements
Similar presentations
University of South Australia Distributed Reconfiguration Avishek Chakraborty, David Kearney, Mark Jasiunas.
Advertisements

Improving Collaboration in Unmanned Aerial Vehicle Operations March 27, 2007 Stacey D. Scott Humans & Automation Lab MIT Aeronautics and Astronautics
Sebastian Smith ○ Lance Hutchinson ○ Ben Damonte ○ Jennifer Knowles ○ Dr. Monica Nicolescu ○ Dr. Sergiu Dascalu Department of Computer Science and Engineering,
Blue Bear Systems Research Hardware Architectures for Distributed Agents Dr Simon Willcox 24 th Soar Workshop 9 th – 11 th June 2004 Building 32, Twinwoods.
PROJECT ICARUS by Noah Michael, Student Project Manager & Dr. Nikos Mourtos, Faculty Project Manager AE 170A/B Course Instructor.
System for Engine Location Of a Web Train Paul Wimmer and Adam Weintrop Dr. Irwin and Dr. Schertz 12/5/05 Project Proposal -CTCDS.
Sense & Avoid for UAV Systems
Better Robots 1 The Goal: More Robots Enabling Fewer Soldiers Military “robots” today lack autonomy –Currently, many soldiers control one robot –Want few.
Industry Session – Mixed Criticality and Multi-Core David Corman Program Director, Cyber Physical Systems National Science Foundation 1.
1 Test Slide Text works. Text works. Graphics work. Graphics work.
12 Sept 2006 LFV Group The Swedish Air Navigation Service Provider1 UAVs in ATM a cooperative approach By Göran Lindqvist LFV Group.
CU-Boulder Timothy X Brown Interdisciplinary Telecommunications Electrical and Computer Engineering University of Colorado Presented at the RECUV Workshop.
Genesis UAV Challenge Presented by Simon Butterworth Aerospace Operational Support Group RAAF.
Controlling and Configuring Large UAV Teams Paul Scerri, Yang Xu, Jumpol Polvichai, Katia Sycara and Mike Lewis Carnegie Mellon University and University.
Project #4: Simulation and Experimental Testing of Allocation of UAVs Tim Arnett, Aerospace Engineering, Junior, University of Cincinnati Devon Riddle,
Zhiyong Wang In cooperation with Sisi Zlatanova
Jonne Zutt Delft University of Technology Information Technology and Systems Collective Agent Based Systems Group Fault detection and recovery.
UC SANTA CRUZ, AUTONOMOUS SYSTEMS LAB Autonomy at the surface Robotics in oceanography Source:
Project #4: Experimental Testing of Allocation of Multiple UAVs Tim Arnett, Aerospace Engineering, Junior, University of Cincinnati Devon Riddle, Aerospace.
Massachusetts Institute of Technology 4 April 2003
PCA READAPT V&V DARPATech Exhibit Demo Flight Viewer & CSIM PCA Model Screenshots Lockheed Martin Advanced Technology Laboratories Distributed Processing.
Eliciting integration scenarios Proposal for Meeting
CEAS PROJECT #1: MULTI-UAV COOPERATIVE CONTROL Michael Alio, Mechanical Engineering, California State Polytechnic Pomona Emma Dorgan, Mechanical Engineering,
System Development Life Cycle. The Cycle When creating software, hardware, or any kind of product you will go through several stages, we define these.
Senior Design I: Preliminary Design Review RENEWABLE ENERGY USING HIGH-EFFICIENCY TURBINES J. Smith, J. Doe, T. Smith and M. Smith Advisor(s): J. Jones,
Senior Design I: Preliminary Design Review RENEWABLE ENERGY USING HIGH-EFFICIENCY TURBINES J. Smith, J. Doe, T. Smith and M. Smith Advisor(s): J. Jones,
Pre kick off meeting 1 1 NCHRP_22_24 January CME Activities 1.Define reporting procedures for simulations (data output, variables, etc) 2.Define.
Symbiotic Simulation of Unmanned Aircraft Systems (UAS)
Robotics & Engineering Design Projective Management Chin-Sung Lin Eleanor Roosevelt High School.
Doris Hamill UAV Business Development Lead NASA Langley Research Center and Hampton Roads First Responders.
COBXXXX EXPERIMENTAL FRAMEWORK FOR EVALUATION OF GUIDANCE AND CONTROL ALGORITHMS FOR UAVS Sérgio Ronaldo Barros dos Santos,
Polymorphous Computing Architectures Run-time Environment And Design Application for Polymorphous Technology Verification & Validation (READAPT V&V) Lockheed.
Intelligent Ground Vehicle Competition Navigation Michael Lebson - James McLane - Image Processing Hamad Al Salem.
Air Systems Division GROUND ASAS EQUIPMENT Michel Procoudine Gorsky ASAS TN2 – Workshop 5 Toulouse 17th-20th September 2007.
Evolving the goal priorities of autonomous agents Adam Campbell* Advisor: Dr. Annie S. Wu* Collaborator: Dr. Randall Shumaker** School of Electrical Engineering.
A Prescriptive Adaptive Test Framework (PATFrame) for Unmanned and Autonomous Systems: A Collaboration Between MIT, USC, UT Arlington and Softstar Systems.
Intelligent Systems Software Assurance Symposium 2004 Bojan Cukic & Yan Liu, Robyn Lutz & Stacy Nelson, Chris Rouff, Johann Schumann, Margaret Smith July.
Aeronautics & Astronautics Autonomous Flight Systems Laboratory All slides and material copyright of University of Washington Autonomous Flight Systems.
Basics and Principles of Scientific Research By Ass. Prof. Dr. Majid S. Naghmash Diglah University College Department of Computer Engineering Techniques.
Boeing-MIT Collaborative Time- Sensitive Targeting Project July 28, 2006 Stacey Scott, M. L. Cummings (PI) Humans and Automation Laboratory
Astrium ‘Robotics and Autonomy’ Test facilities - hardware and software verification - for 28 Feb 2012 Harwell meeting. Tony Jorden Elie Allouis.
1 Center for the Collaborative Control of Unmanned Vehicles (C3UV) UC Berkeley Karl Hedrick, Raja Sengupta.
Professional Development of Software Engineers First day summary.
DeSIRE Workshop, Pisa, 25-26/11/2002 1/7 A Case Study in Air Traffic Control Alberto Pasquini Deep Blue Srl.
1 JAMSS - Japan Manned Space Systems Corporation Safety and Product Assurance Department Software IV&V team Haruka Nakao ISERN Head.
1.5.3 Walkthrough #4 bouncing_ball.py wrapping_ball.py
JSTAR Independent Test Capability (ITC) Core Flight System (CFS) Utilization October 26, 2015 Justin R Morris NASA IV&V Program.
Experimental Testing of Allocation of Multiple UAV’s Tim Arnett, Aerospace Engineering, Junior, University of Cincinnati Devon Riddle, Aerospace Engineering,
Air Force Institute of Technology
OICA „Certification of automated Vehicles“
An Experimental Investigation of how Robotic Learning Affects Trust
Unmanned Control & Tracking System (UCATS)
LAT Instrument Test Data Analysis in Context
Assembling A Space Mission
Pursuit-Evasion Games with UGVs and UAVs
Towards a Model-Driven Engineering Software Development Framework
Intelligent Systems Software Assurance Symposium 2004
FAA Building Blocks Leading to UAS Integration Emerging Trends
Software Quality Engineering
Distributed Sensing, Control, and Uncertainty
Use case for Aerial Vehicle ITS
Automated heavy vehicles in remote areas
Use case for Aerial Vehicle ITS
FRIDAY SLIDES TEMPLATE
VEHICLE TECHNOLOGY AIR CONDITIONING SYSTEMS.
Bioprocess Engineer NOS Functional Map v4
RENEWABLE ENERGY USING HIGH-EFFICIENCY TURBINES
John Backes, Rockwell Collins Dan DaCosta, Rockwell Collins
Unit Commanders Course CAP Squadrons and Missions
Atefeh Sadeghzadeh Control engineer – Target safety and control
Presentation transcript:

Blue Bear Systems Research Soar Agents for Unmanned Air & Ground Vehicles Dr Phill Smith 24 th Soar Workshop 9 th – 11 th June 2004 Building 32, Twinwoods Business Park, Clapham, Bedfordshire MK41 6AE Tel:

Blue Bear Systems Research Presentation Overview Outline of project objectives, and vehicle functionality Outline of project objectives, and vehicle functionality Walkthrough slides of a typical simulation Walkthrough slides of a typical simulation Demonstration run Demonstration run Questions Questions Project funded by SAIC Project funded by SAIC

Blue Bear Systems Research Objectives Development of a Soar agent: Development of a Soar agent: Exercised from the Simulink simulation environment Exercised from the Simulink simulation environment Controlling: Controlling: Up to 6 unmanned ground vehicles Up to 6 unmanned ground vehicles Up to 4 UAV’s Up to 4 UAV’s Mission Mission Form up into a team Form up into a team Routine patrol through an urban area Routine patrol through an urban area Dynamically re-route around blocked roads Dynamically re-route around blocked roads Investigate areas of interest Investigate areas of interest

Blue Bear Systems Research Conflicting Goals The Unmanned Ground Vehicles: The Unmanned Ground Vehicles: Conduct a pre-planned patrol Conduct a pre-planned patrol Avoid blockages – dynamic route planning all done in Soar Avoid blockages – dynamic route planning all done in Soar Seal off an area of interest, and investigate Seal off an area of interest, and investigate The Unmanned Air Vehicles: The Unmanned Air Vehicles: Top priority is to provide the ground teams with comms- relay Top priority is to provide the ground teams with comms- relay May conduct surveillance over: May conduct surveillance over: Road blockages Road blockages Areas of interest Areas of interest

Blue Bear Systems Research Simulink Implementation

Blue Bear Systems Research A Typical Run - 1

Blue Bear Systems Research A Typical Run - 2

Blue Bear Systems Research A Typical Run - 3

Blue Bear Systems Research A Typical Run - 4

Blue Bear Systems Research A Typical Run - 5

Blue Bear Systems Research A Typical Run - 6

Blue Bear Systems Research A Typical Run - 7

Blue Bear Systems Research A Typical Run - 8

Blue Bear Systems Research Project Next Steps Exact detail to be determined Exact detail to be determined Moving towards hardware and experimentation Moving towards hardware and experimentation Will make use of our hardware developments Will make use of our hardware developments Simon Willcox – presentation no. 12 Simon Willcox – presentation no. 12

Blue Bear Systems Research Demo!

Conclusions Soar is well suited to: Soar is well suited to: Equipping vehicles with true autonomy Equipping vehicles with true autonomy Not just high level automation…… Not just high level automation…… Needs to be structured as a multi-agent system Needs to be structured as a multi-agent system Lends itself to software teams, not just individuals Lends itself to software teams, not just individuals Ease of code re-use Ease of code re-use Can be used in a vehicle systems engineering context Can be used in a vehicle systems engineering context But…. But…. Software V&V issues Software V&V issues Particularly with learning systems Particularly with learning systems Certification issues for safety critical systems Certification issues for safety critical systems